chengxi600/RLStuff
A collection of reinforcement learning algorithm implementations
This is a collection of various reinforcement learning algorithms for those learning about or experimenting with different approaches to solving decision-making problems. It takes in a problem definition and outputs a trained agent capable of making decisions. This project is for machine learning researchers, students, and practitioners interested in understanding or comparing different reinforcement learning techniques.
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Use this if you are a machine learning practitioner looking for a hands-on way to explore and implement fundamental reinforcement learning algorithms.
Not ideal if you need a production-ready, highly optimized, or extensively tested reinforcement learning library for complex real-world deployments.
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Jun 10, 2024
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